Carrier Global (CARR) Operating Expenses (2019 - 2026)
Carrier Global (CARR) recorded Operating Expenses of $5.58 billion in Q2 2026, up 4.9% from $5.32 billion a year earlier and up 9.4% from the prior quarter.
Carrier Global (CARR) Operating Expenses (2019 - 2026) Analysis & Trends
On a TTM basis, Carrier Global's Operating Expenses came in at $20.55 billion as of Jun 30, 2026, up 2.6% year-over-year; for FY2025, it was $19.84 billion, down 2.7% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $20.39 billion in FY2024 (+20.7%), $16.89 billion in FY2023 (+9.8%), $15.38 billion in FY2022 (-15.7%) and $18.26 billion in FY2021 (+17.1%).
- The Q2 2026 figure is the highest quarterly Operating Expenses in data going back to Q1 2019.
- On a year-over-year basis, Operating Expenses has increased for three consecutive quarters, with growth averaging 5.7% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 98.2% in Q4 2023, against a decline of 56.4% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.1 billion (Q1 2026), $4.78 billion (Q4 2025) and $5.08 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 90.21 Bn | 87.98 Bn | 2.47 Bn | 1.49 Bn |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn | 287.05 Mn |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn | 5.58 Bn |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn | 3.28 Bn |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn | 327.40 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 397.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 262.80 Mn |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn | 210.70 Mn |
| 10 | Lennox International | 12.73 Bn | 12.54 Bn | 539.50 Mn | 183.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.58 Bn |
| Mar 31, 2026 | 5.10 Bn |
| Dec 31, 2025 | 4.78 Bn |
| Sep 30, 2025 | 5.08 Bn |
| Jun 30, 2025 | 5.32 Bn |
| Mar 31, 2025 | 4.66 Bn |
| Dec 31, 2024 | 4.77 Bn |
| Sep 30, 2024 | 5.28 Bn |
| Jun 30, 2024 | 5.31 Bn |
| Mar 31, 2024 | 5.03 Bn |
| Dec 31, 2023 | 4.07 Bn |
| Sep 30, 2023 | 4.24 Bn |
| Jun 30, 2023 | 5.17 Bn |
| Mar 31, 2023 | 4.76 Bn |
| Dec 31, 2022 | 2.06 Bn |
| Sep 30, 2022 | 4.74 Bn |
| Jun 30, 2022 | 4.50 Bn |
| Mar 31, 2022 | 4.09 Bn |
| Dec 31, 2021 | 4.72 Bn |
| Sep 30, 2021 | 4.61 Bn |
Carrier Global Operating Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-expenses&ticker=CARR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CARR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=CARR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();